James N. Gray
Impact in
-
- semigroups and automata theory
-
- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
Papers in
-
- Logic, programming, and type systems 3
- Algorithms and Data Compression 2
- Machine Learning and Algorithms 2
-
- semigroups and automata theory 5
- Petri Nets in System Modeling 1
- Co-authors
- Michael A. Harrison (5 shared papers)Óscar H. Ibarra (1 shared paper)Raymond A. Lorie (1 shared paper)Michael W. Blasgen (1 shared paper)J. W. Mehl (1 shared paper)Bradford W. Wade (1 shared paper)Robert A. Yost (1 shared paper)M. M. Astrahan (1 shared paper)
- Journals
- Journal of the ACM (2 papers)IEEE Transactions on Software Engineering (1 paper)Communications of the ACM (1 paper)PhDT (1 paper)IEEE Transactions on Systems Man and Cybernetics (1 paper)
- Partner nations
- United States
In The Last Decade
James N. Gray
9 papers receiving 262 citations
Peers
Comparison fields: 5 of 40
- Computational Theory and Mathematics 117
- Computer Networks and Communications 166
- Artificial Intelligence 152
- Signal Processing 49
- Hardware and Architecture 30
Countries citing papers authored by James N. Gray
This map shows the geographic impact of James N. Gray's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James N. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James N. Gray more than expected).
Fields of papers citing papers by James N. Gray
This network shows the impact of papers produced by James N. Gray. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James N. Gray. The network helps show where James N. Gray may publish in the future.
Co-authors
The 16 scholars most cited alongside James N. Gray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 141 | |
| 2 | 1986 | 44 | |
| 3 | 1972 | 42 | |
| 4 | 1967 | 41 | |
| 5 | 1966 | 19 | |
| 6 | 1972 | 14 | |
| 7 | 1969 | 9 | |
| 8 | Precedence Parsers for Programming Languages. | 1969 | 7 |
| 9 | 1973 | 7 |
About James N. Gray
James N. Gray is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Information Systems, having authored 9 papers that have together received 324 indexed citations. Recurring topics across this work include semigroups and automata theory (5 papers), Logic, programming, and type systems (3 papers), Algorithms and Data Compression (2 papers), Machine Learning and Algorithms (2 papers), Petri Nets in System Modeling (1 paper), Model-Driven Software Engineering Techniques (1 paper), Advanced Database Systems and Queries (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (117 citations), Computer Networks and Communications (166 citations), Artificial Intelligence (152 citations), Signal Processing (49 citations) and Hardware and Architecture (30 citations). James N. Gray has collaborated with scholars based in United States. Frequent co-authors include Michael A. Harrison, Óscar H. Ibarra, Raymond A. Lorie, Michael W. Blasgen, J. W. Mehl, Bradford W. Wade, Robert A. Yost, M. M. Astrahan, Patricia G. Selinger and Donald R. Slutz. Their work appears in journals such as Journal of the ACM, IEEE Transactions on Software Engineering, Communications of the ACM, PhDT and IEEE Transactions on Systems Man and Cybernetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.